Channel
@rdcola
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
51subscribers
-2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002631605362 |
|---|---|
| Type | Channel |
| Username | @rdcola |
| Created | Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 10 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.me/rdcola |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 21:59 | 51 | -1 |
| 9 Sept 2026, 03:16 | 52 | -1 |
| 10 Aug 2026, 09:45 | 53 | no change |
| 7 Aug 2026, 18:49 | 53 | first reading |
6 posts held, back to 12 April 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 6 posts for this entry, the most recent from 31 May 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
32 reactions across 5 posts, in 8 distinct kinds. The most used accounts for 37.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 12 | 37.5% | |
| custom 5472122865811728553 | 5 | 15.6% | |
| ✍ | 4 | 12.5% | |
| custom 5213233842210483301 | 3 | 9.38% | |
| custom 5404337067721236500 | 3 | 9.38% | |
| 👨💻 | 2 | 6.25% | |
| 👾 | 2 | 6.25% | |
| 👍 | 1 | 3.13% |
Custom emoji. 3 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 5 of the 6 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 12 April 2026 to 31 May 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🚀 AI в разработке: от написания кода к архитектурному мышлению На днях был на конференции ODS 2026 в «Лемана Тех», где обсуждали, как ИИ меняет нашу профессию. Накопилось много мыслей, в том числе и после знакомства со свежим исследованием «Влияние AI на разработку ПО». Тезисно: - AI ускоряет написание кода и прототипирование. - Большинство до сих пор относится к выдаче нейросетей скептически (и правильно делают…
🔥3👍1
🛠 Как подготовиться к собесу в стиле Duolingo? Наткнулся на интересное мини-приложение в Telegram — «Карьерник». Разработчик Тагир сделал тренажер для подготовки к интервью в игровой механике, которая уже всем полюбилась по «зеленой сове». 🗓️Каждый день вам дается энергия, которую можно тратить на прохождение тестов и интерактивных тренировок. Всё довольно бодро, в формате разбора реальных кейсов с собеседований. …
custom 54721228658117285534👨💻2🔥2
Возвращаем в эфир рубрику из жизни и забавных багов — #ЯЧтоСломал 🛠 Накопилось немного разного материала за последнее время — от сломанных алгоритмов до уязвимостей в проде. 🕵️♂️ Агенты Яндекс Лавки и Prompt Injection Решили мы тут потестить наш OWASP-промпт и заодно посмотреть, как устроена защита ИИ-агентов у коллег по цеху. Агент Лавки оказался на удивление разговорчивым и выложил нам список своих внутренних инст…
🔥2custom 52132338422104833011custom 54721228658117285531
Разбираем один из самых огненных докладов с Data Fusion из секции «Жизнь после LLM». Постарался перевести с хардкорного R&D-языка на человеческий, чтобы было понятно всем, кому интересно, куда вообще катится ИИ. 🧹 1. Эволюция LLM на примере пылесосов Спикер привел шикарную аналогию. Самые первые нейросети — это огромные городские пылесосы-бочки из прошлого века (гудят, занимают кучу места, управляются бригадой рабоч…
✍4👾2🔥2
Photo, posted without a caption
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🔥3custom 54043370677212365003custom 52132338422104833012
Showing the 6 most recent of 6 posts we hold for @rdcola. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.
“The Bias of Cola” (@rdcola), 51 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/rdcola.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.